A. G. Wilson – författare

Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators' for the public and private sector based on the principles of spatial interaction.

Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators'' for the public and private sector based on the principles of spatial interaction.

Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators'' for the public and private sector based on the principles of spatial interaction.

Modelling the City examines the changing role of urban models in respect to both the need to readdress measures of urban well-being and the perceived need to bring model outputs more in tune with key planning problems. The authors argue that whilst there has been substantial progress with a wide range of theoretical problems in urban modelling, modellers have not paid enough attention to the usefulness of their model outputs in terms of indicators which offer new insights into the workings of the city or region. Modelling the City offers a `new geography of performance indicators' for the public and private sector based on the principles of spatial interaction.

Sponsored by the Office for Industrial Associates of the California Institute of Technology and the Society for Morphological Research, Pasadena, California, May 22-24, 1967

10 Definitions Operations research, first called operational re- search by P. M. S. Blackett (1) in Britain about 1938, has a broad zneaning illustrated by several exaznples in this section. Briefly, it znay be defined as the study of znan- znachine systezns that have a purpose. In znore descriptive terzns, operations research involves the application of physical, biological, and social sciences in the znost quanti- tative way possible. It thus draws on the disciplines of znedicine, psychology, and all forzns of engineering (2). As the following historical exaznples will show, an essential step in every 0 - R study is recognition of the purpose of an ope ration, an organiz ation, or a systezn. This often leads to a zneasure of znerit or a value parazneter by which operational results can be coznpared; for exaznple, the fraction of approaching aircraft shot down by an air-defense systezn, or annual sales of products by an industrial con- cern, or gross national product of a country. Predictions of such operational results, and quanti- tative coznparisons between different systezns, require znatheznatical znodels of each systezn and its operation.In sozne cases--such as the accuracy of anti-aircraft fire, or the cost of producing a znachined product, or transportation costs of delivery--the znodel can be znatheznatically precise or deterzninistic. More generally, operational results are probabalistic and require a stochastic znodel.